Mission: Design and build a proof-of-concept for a WhatsApp feature that engages students on their graduation day.

Elvia Context

Elvia bridges the education-to-employment gap for Latin American students, focusing on:

• Demographics: High school graduates (ages 17–20) pursuing technical degrees.
• Student Goal: Secure job matches aligned with their skills.
• Employer Needs: Quality hires with strong retention potential.

User Persona

Key Questions to Address

1. User Activity Patterns

• How does the system behave outside of graduation days? (i assume low traffic)
• Graduation dates often cluster, creating traffic spikes. How will the system handle this load?

2. Post-Match Follow-Up

• What support is provided after a successful match? (Student/employer/school engagement paths)

3. Match Quality

• How to effectively match degrees ("Healthcare Technical Diploma") with roles ("Lab Assistant")?
• Should incorporate: personal interests, historical data, and predictive modeling.

4. Success Metrics

• How is feature success defined?
• What conversion rates are targeted?

5. Scalability Challenges